Senior Engineer – Artificial Intelligence

Presight; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading company in big data analytics is seeking an experienced AI Engineer to join their team. The role involves designing scalable AI solutions and integrating ML models into data pipelines. Ideal candidates will have a strong background in software engineering and a passion for AI innovation, contributing to impactful projects in a collaborative environment.

Benefits

Healthcare

Education support

Leave benefits

Qualifications

• 7+ years of experience in software engineering (backend or full-stack).
• 3+ years of practical experience working with AI/ML models in production environments.
• Proven experience with LLMs and vector search engines.

Responsibilities

• Design and implement robust and scalable inference layer for ML models.
• Collaborate with product managers, data engineers, and software architects.
• Stay abreast of emerging AI trends and advise on their applicability.

Skills

Software Engineering

AI/ML

Data Structures

Algorithms

Prompt Engineering

Model Fine-tuning

Security Considerations

Education

Bachelor’s degree in computer science, machine learning, engineering or related field

Tools

Python

Java

PyTorch

LangChain

OpenAI

Job description

Overview

About Presight

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

The opportunity

We are looking for an experienced and forward-thinking AI Engineer to join our data analytics AI platform development team. This role bridges the gap between robust software engineering and modern AI/ML capabilities. Ideal candidates are seasoned backend or full-stack developers who have expanded their expertise into the AI/ML domain and are passionate about building intelligent applications using the latest AI technologies.

Responsibilities

• Design and implement robust and scalable inference layer for pluggable ML and LLM models as part of our in-house built data pipelines platform.
• Design and implement agentic workflows to expose existing data transformations and analytics tools through conversational interface, including building tools integration layer, prompt engineering, conversation and context management.
• Design and manage Retrieval-Augmented Generation (RAG) pipelines, including vector database integration and context enrichment.
• Ensure model integration is secure, robust, and observable — including implementing evaluation pipelines and monitoring mechanisms.
• Stay abreast of emerging AI trends, tools, and best practices, and advise on their applicability to our platform.
• Collaborate closely with product managers, data engineers, and software architects to shape and implement technical solutions.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans and related risk assessments.

Qualifications

Required Qualifications:

• Bachelor’s degree in computer science, machine learning, engineering or related field.
• 7+ years of experience in software engineering (backend or full-stack roles using Python, Java, or similar).
• Strong knowledge of data structures and algorithms.
• 3+ years of practical experience working with AI/ML models in production environments.
• Proven experience with LLMs (e.g., OpenAI, Anthropic, Hugging Face), vector search engines (e.g., FAISS, Weaviate, Qdrant), and ML inference frameworks.
• Solid understanding of prompt engineering, embeddings, RAG, and model fine-tuning or customization.
• Familiarity with context and session management, multi-turn dialogue systems, and AI agent frameworks.
• Experience building or working with evaluation frameworks for model performance and behavioral reliability.
• Knowledge of security, privacy, and ethical considerations in deploying AI solutions.
• Demonstrated passion for AI innovation and continuous learning in the space.

Preferred Qualifications:

• Experience with MLOps, deployment of models at scale, or fine-tuning custom models.
• Familiarity with LangChain, LlamaIndex, OpenAI function calling, or similar frameworks.
• Exposure to front-end development is a plus if the candidate is full-stack.
• Contributions to open-source AI projects or research is a bonus.
• Experience with deep learning frameworks (PyTorch) for training and inference on the problems:
  • NLP (seq-to-seq, semantic search, topic classification, sentiment analysis, translation);
  • Image (OCR, detection, recognition).
  • Video (objects tracking, retrieval, anomaly detection).
  • Audio (speaker recognition, speech to text, etc.).
  • Recommendation Systems (retrieval, ranking, session-based recommendations, ad tech, etc.)

What we look for:

If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Presight community.

What working at Presight offers:

Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.

Career: Accelerate your career through high-impact projects andaccess to resources for continuous growth and learning opportunities.

Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.